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  • 邹权,主持国家杰青项目,电子科技大学基础与前沿研究院教授,电子科技大学长三角研究院(衢州)副院长。谷歌学术总引用
  • 常年招聘博士后,招聘科研助理,署名邮件必回复
  • 我对研究生的要求
  • 未经我允许,请不要给我寄送快递,尤其是各种礼物!如果您是我的学生,给我发封邮件告诉我近况,就是最美好的礼物!我的时间更想多看点书,而不是去取快递!


  • 研究方向:

  • 利用并行/高性能计算解决生物信息学问题
  • 利用机器学习方法解决生物信息学问题
  • 生物信息学应用问题

  • 主持项目:

    国家自然科学基金杰出青年基金    生物序列计算分析
    国家自然科学基金原创探索项目延续资助    从支持生物序列机到生物序列神经网络
    国家自然科学基金重点项目    面向单细胞RNA测序数据的深度迁移模型与细胞通信网络研究
    国家自然科学基金原创探索项目    支持生物序列机(已结题)
    国家自然科学基金优秀青年基金    生物信息处理与分析 (已结题)
    四川省杰出青年科技人才项目    大规模生物序列分类和聚类方法研究(已结题)
    国家自然科学基金面上项目    利用多序列比对指导16s rRNA的OTU聚类 (已结题)
    国家自然科学基金面上项目    基于MapReduce的非编码RNA“从头预测”识别方法研究 (已结题)
    国家自然科学基金青年基金    基于投票机制的非编码RNA“从头预测”识别方法研究 (已结题)

    学术兼职:

  • Editor-in-Chief of Current Bioinformatics, Computers in Biology and Medicine
  • Co-Editor of Current Gene Therapy
  • Specialty Chief Editor of Computational Genomics (specialty section of Frontiers in Genetics)
  • Associate Editor of IEEE Access, Frontiers in Bioinformatics, Molecular Therapy-Nucleic Acids
  • Editorial Board Member of Briefings in Bioinformatics, Briefings in Functional Genomics, Computational Biology and Chemistry, Scientific Report, Interdisciplinary Sciences--Computational Life Sciences, Genes, Proteomics
  • Guest Associate Editor of PLoS Computational Biology

  • 代表论文:

    1. Yizheng Wang, Yixiao Zhai, Yijie Ding*, Quan Zou*. SBSM-Pro: support bio-sequence machine for proteins. Science China Information Sciences. 2024, 67(11): 144-159. (web) 谷歌学术引用
    2. Jiacheng Wang, Yaojia Chen, Quan Zou*. Inferring gene regulatory network from single-cell transcriptomes with graph autoencoder model. PLoS Genetics. 2023, 19(9): e1010942 (codes)谷歌学术引用
    3. Furong Tang, Jiannan Chao, Yanming Wei, Fenglong Yang, Yixiao Zhai, Lei Xu, Quan Zou*. HAlign 3: fast multiple alignment of ultra-large numbers of similar DNA/RNA sequences. Molecular Biology and Evolution. 2022,39(8):msac166. (codes)谷歌学术引用
    4. Tao Wang, Linlin Zhuo*, Yifan Chen, Xiangzheng Fu*, Xiangxiang Zeng, Quan Zou*. ECD-CDGI: an efficient energy-constrained diffusion model for cancer driver gene identification. PLoS Computational Biology. 2024, 20: e1012400谷歌学术引用
    5. Yixiao Zhai, Jiannan Chao, Yizheng Wang, Pinglu Zhang, Furong Tang, Quan Zou*. TPMA: a two pointers meta-alignment tool to ensemble different multiple nucleic acid sequence alignments. PLoS Computational Biology. 2024, 20(4): e1011988 (codes)谷歌学术引用
    6. Yaojia Chen, Jiacheng Wang, Chunyu Wang, Quan Zou*. AutoEdge-CCP: A Novel Approach for Predicting Cancer-Associated CircRNAs and Drugs based on Automated Edge Embedding. PLoS Computational Biology. 2024, 20(1): e1011851 (codes)谷歌学术引用
    7. Ran Su, Haitang Yang, Leyi Wei*, Siqi Chen*, Quan Zou*. A multi-label learning model for predicting drug-induced pathology in multi-organ based on toxicogenomics data. PLoS Computational Biology. 2022, 18(9): e1010402 (codes)谷歌学术引用
    8. Xiangxiang Zeng, Wei Lin, Maozu Guo, Quan Zou*. A comprehensive overview and evaluation of circular RNA detection tools. PLoS Computational Biology. 2017,13(6): e1005420 (data and codes)(BibTeX, EndNote)谷歌学术引用
    9. Quan Zou*, Pengwei Xing, Leyi Wei, Bin Liu*. Gene2vec: Gene Subsequence Embedding for Prediction of Mammalian N6‐Methyladenosine Sites from mRNA. RNA. 2019, 25(2): 205-218 (web server)(BibTeX, EndNote)谷歌学术引用
    10. Chen Cao*, Mengting Shao, Chunman Zuo, Devin Kwok, Lin Liu, Yuli Ge, Zilong Zhang, Feifei Cui, Mingshuai Chen, Rui Fan, Yijie Ding, Hangjin Jiang, Guishen Wang*, Quan Zou*. RAVAR: a curated repository for rare variant-trait associations. Nucleic Acids Research. 2024, 52(D1): D990-D997. (web server)谷歌学术引用
    11. Chen Cao, Jianhua Wang, Devin Kwok, Zilong Zhang, Feifei Cui, Da Zhao, Mulin Jun Li, Quan Zou*. webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study. Nucleic Acids Research. 2022, 50(D1): D1123-D1130. (web site)谷歌学术引用
    12. Mengting Niu, Chunyu Wang, Zhanguo Zhang*, Quan Zou*. A computational model of circRNA-associated diseases based on a graph neural network: prediction and case studies for follow-up experimental validation. BMC Biology. 2024, 22:24. (codes)谷歌学术引用
    13. Chao Wang, Quan Zou*. Prediction of protein solubility based on sequence physicochemical patterns and distributed representation information with DeepSoluE. BMC Biology. 2023, 21:12. (web server)谷歌学术引用
    14. Zhonghao Ren, Xiangxiang Zeng, Yizhen Lao, Heping Zheng, Zhuhong You, Hongxin Xiang, Quan Zou*. A spatial hierarchical network learning framework for drug repositioning allowing interpretation from macro to micro scale. Communications Biology. 2024, 7: 1413 (codes)谷歌学术引用
    15. Ximei Luo, Quan Zou*. Identifying the “stripe” transcription factors and cooperative binding related to DNA methylation. Communications Biology. 2024, 7: 1265. (codes)谷歌学术引用
    16. Quan Zou*, Qingh Hu, Maozu Guo, Guohua Wang*. HAlign: Fast Multiple Similar DNA/RNA Sequence Alignment Based on the Centre Star Strategy. Bioinformatics. 2015,31(15): 2475-2481. (Software)(该软件被OMICTOOLS推荐)(BibTeX, EndNote)谷歌学术引用
    17. Wei Tang, Shixiang Wan, Zhen Yang, Andrew E. Teschendorff*, Quan Zou*. Tumor Origin Detection with Tissue-Specific miRNA and DNA methylation Markers. Bioinformatics. 2018, 34(3): 398-406. (web server) (BibTeX, EndNote)谷歌学术引用
    18. Cangzhi Jia*, Yun Zuo, Quan Zou*. O-GlcNAcPRED-II: an integrated classification algorithm for identifying O-GlcNAcylation sites based on fuzzy undersampling and a K-means PCA oversampling technique. Bioinformatics. 2018, 34(12): 2029-2036.(web server)(该软件被OMICTOOLS推荐)(BibTeX, EndNote)谷歌学术引用
    19. Xiangxiang Zeng, Li Liu, Linyuan Lu*, Quan Zou*. Prediction of potential disease-associated microRNAs using structural perturbation method. Bioinformatics. 2018, 34(14): 2425-2432.(codes)(BibTeX, EndNote)谷歌学术引用
    20. Wenying He, Cangzhi Jia*, Quan Zou*. 4mCPred: Machine Learning Methods for DNA N4-methylcytosine sites Prediction. Bioinformatics. 2019, 35(4): 593-601 (web server)(该软件被OMICTOOLS推荐)谷歌学术引用
    21. Leyi Wei, Shasha Luan, Luis Eijy Nagai, Ran Su*, Quan Zou*. Exploring sequence-based features for the improved prediction of DNA N4-methylcytosine sites in multiple species. Bioinformatics. 2019, 35(8): 1326-1333. (web server)谷歌学术引用
    22. Leyi Wei*, Chen Zhou, Ran Su*, Quan Zou*. PEPred-Suite: improved and robust prediction of therapeutic peptides using adaptive feature representation learning. Bioinformatics. 2019, 35(21):4272-4280. (web server)谷歌学术引用
    23. Xiangzheng Fu, Lijun Cai, Xiangxiang Zeng*, Quan Zou*. StackCPPred: A Stacking and Pairwise Energy Content based Prediction of Cell-Penetrating Peptides and Their Uptake Efficiency. Bioinformatics. 2020, 36(10):3028-3034. (code)谷歌学术引用
    24. Yu Zhang, Quan Zou*. PPTPP: A novel therapeutic peptide prediction method using physicochemical property encoding and adaptive feature representation learning. Bioinformatics. 2020, 36(13): 3982-3987 (codes and data)谷歌学术引用
    25. Zijie Shen, Quan Zou*. Basic polar and hydrophobic properties are the main characteristics that affect the binding of transcription factors to methylation sites. Bioinformatics. 2020,36(15):4263-4268 (Supplementary data) 谷歌学术引用
    26. Xiaoqing Ru, Xiucai Ye*, Tetsuya Sakurai, Quan Zou*. NerLTR-DTA: Drug-target binding affinity prediction based on neighbor relationship and learning to rank. Bioinformatics. 2022, 38(7): 1964-1971. (codes and datasets)谷歌学术引用
    27. Zilong Zhang, Feifei Cui, Wei Su, Lijun Dou, Anqi Xu, Chen Cao, Quan Zou*. webSCST: an interactive web application for single-cell RNA-sequencing data and spatial transcriptomic data integration. Bioinformatics. 2022, 38(13):3488-3489. (web server)谷歌学术引用
    28. Yansu Wang, Ximei Luo, Quan Zou*. Effector-GAN: prediction of fungal effector proteins based on pretrained deep representation learning methods and generative adversarial networks. Bioinformatics. 2022, 38(14):3541-3548. (web server)谷歌学术引用
    29. Chao Cao, Chunyu Wang, Shuhong Yang, Quan Zou*. CircSI-SSL: circRNA-binding site identification based on self-supervised learning. Bioinformatics. 2024, 40(1): btae004. (codes)谷歌学术引用
    30. Pinglu Zhang, Huan Liu, Yanming Wei, Yixiao Zhai, Qinzhong Tian, Quan Zou*. FMAlign2: A novel fast multiple nucleotide sequence alignment method for ultralong datasets. Bioinformatics. 2024, 40(1): btae014(codes) 谷歌学术引用
    31. Zhecheng Zhou, Qingquan Liao, Jinhang Wei, Linlin Zhuo*, Xiaonan Wu*, Xiangzheng Fu*,Quan Zou*. Revisiting Drug-Protein Interaction Prediction: A Novel Global-Local Perspective. Bioinformatics. 2024, 40(5): btae271. (codes)谷歌学术引用
    32. Yushan Qiu, Lingfei Yang, Hao Jiang*, Quan Zou*. scTPC: a novel semi-supervised deep clustering model for scRNA-seq data. Bioinformatics. 2024, 40(5): btae293 (codes)谷歌学术引用
    33. Matee Ullah, Shahid Akbar, Ali Raza, Quan Zou*. DeepAVP-TPPred: identification of antiviral peptides using transformed image-based localized descriptors and binary tree growth algorithm. Bioinformatics. 2024, 40(5): btae305 (codes)谷歌学术引用
    34. Wei Song, Lewen Xu, Chenguang Han, Zhen Tian*, Quan Zou*. Drug-target interaction predictions with multi-view similarity network fusion strategy and deep interactive attention mechanism. Bioinformatics. 2024, 40(6): btae346. (codes)谷歌学术引用
    35. Xinqian Ma, Xiangzheng Fu, Tao Wang, Linlin Zhuo*, Quan Zou*. GraphADT: Empowering Interpretable Predictions of Acute Dermal Toxicity with Multi-View Graph Pooling and Structure Remapping. Bioinformatics. 2024, 40(7): btae438. (codes)谷歌学术引用
    36. Shida He, Xiucai Ye, Sakurai Tetsuya, Quan Zou*. MRMD3.0: A Python tool and webserver for dimensionality reduction and data visualization via an ensemble strategy. Journal of Molecular Biology. 2023, 435: 168116 (web site)谷歌学术引用

    所获奖励:

  • 2023年度吴文俊人工智能自然科学奖二等奖(排名第1)
  • 2021年度黑龙江省自然科学二等奖(排名第2)
  • 2021年度天津市自然科学二等奖(排名第2)
  • 2019年度福建省自然科学奖三等奖(排名第1)
  • 2019年度教育部自然科学奖二等奖(排名第2)
  • 2013年度厦门大学第七届高等教育教学成果二等奖(排名第5)
  • 第十三批四川省学术和技术带头人(自然科学)
  • 四川省高层次人才计划
  • 科睿唯安(Clarivate Analytics)“全球高被引学者”("计算机科学"和"生物与生物化学"两个领域, 2018-2023)
  • 爱思唯尔中国高被引学者(计算机科学与技术领域,2020-2023)
  • Global Peer Review Awards (Top 1% in Biology and Biochemistry, Cross-Field) Powered by Publons
  • 入选美国斯坦福大学发布的世界前2%科学家榜单
  • Research.com计算机学科中国区学者排名第146名,世界第1394名(2024年9月数据)
  • 同舟云学术发布的2023全球学者学术影响力排行榜第21457名

  • 培养学生:

  • 厦门大学
  • 天津大学
  • 电子科技大学

  • 联系方式:

  • Email: zouquan(a)nclab.net(为防止垃圾邮件,请把(a)换成@)
  • QQ:(同事请加32400920) (学生请加1020628735)


  • 最后修改时间:2024.11.7
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